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Using Interaction Data to Explain Difficulty Navigating Online

Published: 06 November 2014 Publication History

Abstract

A user's behaviour when browsing a Web site contains clues to that user's experience. It is possible to record some of these behaviours automatically, and extract signals that indicate a user is having trouble finding information. This allows for Web site analytics based on user experiences, not just page impressions.
A series of experiments identified user browsing behaviours—such as time taken and amount of scrolling up a page—which predict navigation difficulty and which can be recorded with minimal or no changes to existing sites or browsers. In turn, patterns of page views correlate with these signals and these patterns can help Web authors understand where and why their sites are hard to navigate. A new software tool, “LATTE,” automates this analysis and makes it available to Web authors in the context of the site itself.

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Published In

cover image ACM Transactions on the Web
ACM Transactions on the Web  Volume 8, Issue 4
October 2014
178 pages
ISSN:1559-1131
EISSN:1559-114X
DOI:10.1145/2686863
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 06 November 2014
Accepted: 01 July 2014
Revised: 01 July 2014
Received: 01 January 2014
Published in TWEB Volume 8, Issue 4

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Author Tags

  1. Browsing
  2. logfile analysis
  3. navigation
  4. web analytics

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  • Research-article
  • Research
  • Refereed

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  • Human Services Delivery Research Alliance between the CSIRO and the Australian Government Department of Human Services

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  • (2021)How Do Home Computer Users Browse the Web?ACM Transactions on the Web10.1145/347334316:1(1-27)Online publication date: 28-Sep-2021
  • (2020)An Event Detection Platform to Detect Gender Using Deep Learning2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON51285.2020.9298104(0359-0363)Online publication date: 28-Oct-2020
  • (2020)An approach to support the construction of adaptive Web applicationsInternational Journal of Web Information Systems10.1108/IJWIS-12-2018-0089ahead-of-print:ahead-of-printOnline publication date: 26-Feb-2020
  • (2019)YesElfAdjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization10.1145/3314183.3324978(39-44)Online publication date: 6-Jun-2019
  • (2018)RUM: An Approach to Support Web Applications Adaptation During User BrowsingComputational Science and Its Applications – ICCSA 201810.1007/978-3-319-95165-2_6(76-91)Online publication date: 4-Jul-2018
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